Detection by Attack: Detecting Adversarial Samples by Undercover Attack
-
Updated
Feb 13, 2021 - Python
#
adversarial-detection
Here are 15 public repositories matching this topic...
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
uncertainty-quantification bayesian-neural-networks bayesian-deep-learning fine-tuning adversarial-detection ood-detection
-
Updated
Jul 25, 2024 - Python
Adversarial detection and defense for deep learning systems using robust feature alignment
python machine-learning data-mining deep-learning neural-network robustness adversarial-attacks adversarial-defense adversarial-detection
-
Updated
Nov 10, 2020 - Jupyter Notebook
Adversarial Detection v.s. Object Detection.
-
Updated
Jul 29, 2023 - Jupyter Notebook
A Man-in-the-Middle Attack against Object Detection.
-
Updated
May 21, 2025 - C
EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention
computer-vision deep-learning fraud-prevention digital-forensics pytorch-models anti-spoofing adversarial-detection efficientnet deepfake-detection face-forgery-detection biometric-security content-verification multimodal-ai media-authentication video-forensics synthetic-media-forensics face-manipulation-detection deepfake-defense gan-detection diffusion-model-detection
-
Updated
Nov 9, 2025 - Python
Adversarial Detection in ROS Gazebo.
-
Updated
Jul 29, 2023 - Python
Gaussian process regression-based adversarial image detection
-
Updated
Mar 24, 2023 - Python
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
deep-neural-networks dnn ensemble gaussian-processes adversarial-machine-learning adversarial-attacks adversarial-defense adversarial-detection hybrid-models uncertainty-estimations gpc-models predictive-uncertainty gp-dnn
-
Updated
Mar 21, 2019 - Python
This work demonstrates an altogether different utility of attention heads. Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning, but here we build a novel adversarial detection model based on them.
-
Updated
Mar 9, 2022 - Python
An University Project for the AI4Cybersecurity class.
art resnet-50 face-identification adversarial-machine-learning adversarial-attacks adversarial-detection pgd-adversarial-attacks adversarial-robustness-toolbox evasion-attack fgsm-attack bim-attack adversarial-faces
-
Updated
Jun 22, 2022 - Jupyter Notebook
This work demonstrates an altogether different utility of attention heads. Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning, but here we build a novel adversarial detection model based on them.
-
Updated
Nov 19, 2021 - Python
Fine-tuned small language models (Qwen3-0.6B, Gemma3-1B) to detect prompt injection attacks using reasoning-augmented supervised fine-tuning with ChatML templates. Achieves 95-99% accuracy on adversarial prompts including goal hijacking, DAN jailbreaks, and obfuscation attacks.
-
Updated
Feb 11, 2026 - Jupyter Notebook
CSL7360 Course Project Repository
computer-vision classification sift 3d-reconstruction sift-descriptors fingerprint-matching adversarial-detection
-
Updated
May 6, 2024 - Jupyter Notebook
Evaluated the robustness of a deep face recognition model (InceptionResNetV1) against adversarial attacks. Tested multiple attack types, analyzed transferability, and implemented a defense system using specialized detectors to improve security while preserving accuracy.
detector cybersecurity adversarial-machine-learning adversarial-attacks vggface2 deep-face-recognition adversarial-detection carlini-wagner-attack adversarial-robustness-toolbox fgsm-attack pgd-attack bim-attack security-evaluation-curve
-
Updated
Jan 16, 2026 - Python
Improve this page
Add a description, image, and links to the adversarial-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the adversarial-detection topic, visit your repo's landing page and select "manage topics."